Forward Deployed Data Engineer

Comp: $170k-270k base (DOE), generous equity and benefits

Fully remote based in US

NOT open to Visa holders at this point

We're looking for a Forward Deployed Engineer (3–8 years) to own end-to-end healthcare customer engagements at a fast-growing, VC-backed AI training data platform. You'll be the technical engine behind live deals — turning ambiguous, high-stakes healthcare data problems into delivered outcomes on tight timelines.

What you'll do

• Own customer engagements from scoping through delivery — translating vague requirements (e.g. 5M patient records spanning radiology, claims, genomics) into working data pipelines under pressure

• Build custom data engineering solutions to handle massive volumes of structured and unstructured healthcare data (imaging, EHR, claims) at scale

• Go on-site with customers and data partners to guide their engineering teams through working with data at scale

• Identify gaps between our platform and customer needs, and build the last-mile solutions that close them

• Surface repeatable patterns back to product to help turn bespoke implementations into scalable platform capabilities

What we're looking for

• Strong data engineering background building

  batch

  pipelines at massive scale, across structured and unstructured data (this is not a streaming-heavy environment)

• A track record of high ownership — founding engineer, early-stage startup, or equivalent end-to-end technical accountability

• Customer-facing experience: comfortable scoping ambiguous problems, communicating tradeoffs, and steering technical stakeholders away from preconceptions on the fly

• Strong SQL and hands-on ETL experience across diverse data formats

• A full-stack generalist mindset with a clear spike in data engineering

• Working understanding of AI/ML training workflows

• Comfort operating in PHI/HIPAA-compliant environments (healthcare domain expertise is a nice-to-have, not a requirement)

• Degree in Computer Science, Physics, or a related technical field

• Thrives in fast-paced, high-intensity environments — nights and weekends are common when deals are live

Tech stack:

Python, SQL, batch data pipelines, structured & unstructured data, healthcare data (HL7/FHIR), PHI/HIPAA-compliant systems, cloud infrastructure (AWS/GCP/Azure), REST APIs, data integrations

This role is built for someone who wants deep ownership across many problems, not a single long-term product. If you're looking for strict 9-to-5 hours or steady-state work, this won't be the right fit — but if you thrive on ambiguity and want to be the person who makes impossible deadlines work, we'd love to talk.